11 дней назад
Senior Business Systems Analyst (AI Enablement)
78 500 - 141 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Business Systems Analyst (AI Enablement) (Generative AI/LLMs): Translating business needs into AI-enabled solutions and supporting automation, analytics, reporting, and enterprise AI initiatives with an accent on requirements management, stakeholder alignment, and responsible AI. Focus on evaluating AI use cases, defining scalable reporting strategies for dossier submissions, and guiding solutions from concept through implementation and adoption.
Location: North Chicago, Illinois, United States
Salary: $78,500–$141,000 annual base pay
Company
develops medicines and healthcare solutions across immunology, oncology, neuroscience, and aesthetics.
What you will do
- Partner with Development Sciences, dossier management, Regulatory Affairs, IT, data, digital, and AI engineering teams.
- Identify and prioritize AI-enabled opportunities for automation, reporting, analytics, generative AI, and agentic AI.
- Elicit, analyze, document, and manage business, functional, and non-functional requirements.
- Translate business needs into user stories, process flows, business requirements documents, and acceptance criteria.
- Support planning, backlog refinement, testing, release planning, issue management, risk identification, and adoption activities.
- Help ensure AI solutions meet business expectations, privacy requirements, quality standards, governance policies, and responsible AI practices.
Requirements
- Bachelor’s degree in Information Systems, Computer Science, Life Sciences, or a related discipline with 5 years of experience, or a master’s degree with 4 years of experience.
- Experience in business systems analysis, consulting, product ownership, project delivery, technology consulting, or a related discipline.
- Experience gathering and documenting requirements, facilitating stakeholder discussions, and translating business needs into technology solutions.
- Experience working with GxP or regulated environments and enterprise software delivery initiatives.
- Practical knowledge of generative AI, LLMs, prompt engineering, RAG, AI copilots, agentic AI, machine learning fundamentals, AI governance, privacy, security, and implementation risks.
- Strong analytical, communication, relationship management, Agile, and software development lifecycle knowledge.
Nice to have
- Experience with AI, analytics, digital transformation, or automation initiatives.
- Pharmaceutical, biotechnology, healthcare, manufacturing, or other regulated-industry experience.
- Familiarity with cloud-based AI platforms and enterprise AI services.
- Experience supporting change management and technology adoption.
Culture & Benefits
- Paid time off, including vacation, holidays, and sick leave.
- Medical, dental, and vision insurance for eligible employees.
- 401(k) benefits for eligible employees.
- Eligibility for short-term incentive programs.
- Equal opportunity employment commitment.
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